Loss of FHIT protein expression is a marker of adverse evolution in good prognosis localized breast cancer

Microtubule-associated tumor suppressors as prognostic biomarkers in breast cancer

PURPOSE

Breast cancer is the most common malignancy in women worldwide. Although important therapeutic progress was achieved over the past decade, this disease remains a public health problem. In light of precision medicine, the identification of new prognostic biomarkers in breast cancer is urgently needed to stratify populations of patients with poor clinical outcome who may benefit from new personalized therapies. The microtubule cytoskeleton plays a pivotal role in essential cellular functions and is an interesting target for cancer therapy. Microtubule assembly and dynamics are regulated by a wide range of microtubule-associated proteins (MAPs), some of which have oncogenic or tumor suppressor effects in breast cancer.

RESULTS

This review covers current knowledge on microtubule-associated tumor suppressors (MATS) in breast cancer and their potential value as prognostic biomarkers. We present recent studies showing that combinatorial expression of ATIP3 and EB1, two microtubule-associated biomarkers with tumor suppressor and oncogenic effects, respectively, improves breast cancer prognosis compared to each biomarker alone.

CONCLUSIONS

These findings are discussed regarding the increasing complexity of protein networks composed of MAPs that coordinate microtubule dynamics and functions. Further studies are warranted to evaluate the prognostic value of combined expression of different MATS and their interacting partners in breast cancer.

Fhit Nuclear Import Following EGF Stimulation Sustains Proliferation of Breast Cancer Cells

The tumor-suppressor protein fragile histidine triad (Fhit) exerts its functions in the cytoplasm, although some reports suggest that it may also act in the nucleus. We previously showed that cytosolic Fhit protein levels in cancer cell lines stimulated to proliferate were reduced by proteasomal degradation. Here, we demonstrate that Fhit is physiologically present in the nucleus of breast cancer cell lines and tissues at a low level and that proliferative stimulation increases nuclear levels. Breast cancer cells expressing the FhitY114F mutant, which do not undergo proteasomal degradation, contained mutated Fhit in the nucleus, while cells treated with a proteasome inhibitor accumulated nuclear Fhit during proliferation. Thus, Fhit nuclear shuttling and proteasome degradation phenomena occur independently. When Fhit was coupled to a nuclear localization sequence, the proliferation rate of the transfected cells increased together with levels of proliferation pathway mediators cyclin D1, phospho-MAPK, and phospho-STAT3. Fhit nuclear translocation upon mitogenic stimulation may represent a new regulatory mechanism that allows rapid restoration of Fhit cytoplasmic levels and promotes the proliferation cascade activated by mitogenic stimulation.

Loss of LRIG1 locus increases risk of early and late relapse of stage I/II breast cancer

Gains and losses at chromosome 3p12-21 are common in breast tumors and associated with patient outcomes. We hypothesized that the LRIG1 gene at 3p14.1, whose product functions in ErbB-family member degradation, is a critical tumor modifier at this locus. We analyzed 971 stage I/II breast tumors using Affymetrix Oncoscan molecular inversion probe arrays that include 12 probes located within LRIG1. Copy number results were validated against gene expression data available in the public database. By partitioning the LRIG1 probes nearest exon 12/13, we confirm a breakpoint in the gene and show that gains and losses in the subregions differ by tumor and patient characteristics including race/ethnicity. In analyses adjusted for known prognostic factors, loss of LRIG1 was independently associated with risk of any relapse (HR, 1.90; 95% CI, 1.32-2.73), relapse≥5 years (HR, 2.39; 95% CI, 1.31-4.36), and death (HR, 1.55; 95% CI, 1.11-2.16). Analyses of copy number across chromosome 3, as well as expression data from pooled, publicly available datasets, corroborated the hypothesis of an elevated and persistent risk among cases with loss of or low LRIG1. We concluded that loss/low expression of LRIG1 is an independent risk factor for breast cancer metastasis and death in stage I/II patients. Increased hazard in patients with loss/low LRIG1 persists years after diagnosis, suggesting that LRIG1 is acting as a critical suppressor of tumor metastasis and is an early clinical indicator of risk for late recurrences in otherwise low-risk patients.

Integrated genomic analysis of breast cancers

Breast cancer is the most frequent and the most deadly cancer in women in Western countries. Different classifications of disease (anatomoclinical, pathological, prognostic, genetic) are used for guiding the management of patients. Unfortunately, they fail to reflect the whole clinical heterogeneity of the disease. Consequently, molecularly distinct diseases are grouped in similar clinical classes, likely explaining the different clinical outcome between patients in a given class, and the fact that selection of the most appropriate diagnostic or therapeutic strategy for each patient is not done accurately. Today, treatment is efficient in only 70.0–75.0% of cases overall. Our repertoire of efficient drugs is limited but is being expanded with the discovery of new molecular targets for new drugs, based on the identification of candidate oncogenes and tumor suppressor genes (TSG) functionally relevant in disease. Development of new drugs makes therapeutical decisions even more demanding of reliable classifiers and prognostic/predictive tests. Breast cancer is a complex, heterogeneous disease at the molecular level. The combinatorial molecular origin and the heterogeneity of malignant cells, and the variability of the host background, create distinct subgroups of tumors endowed with different phenotypic features such as response to therapy and clinical outcome. Cellular and molecular analyses can identify new classes biologically and clinically relevant, as well as provide new clinically relevant markers and targets.

The various stages of mammary tumorigenesis are not clearly defined and the genetic and epigenetic events critical to the development and aggressiveness of breast cancer are not precisely known. Because the phenotype of tumors is dependent on many genes, a large-scale and integrated molecular characterization of the genetic and epigenetic alterations and gene expression deregulation should allow the identification of new molecular classes clinically relevant, as well as among the altered genes and/or pathways, the identification of more accurate molecular diagnostic, prognostic/predictive factors, and for some of them, after functional validation, the identification of new therapeutic targets.

Clinical proteomics of breast cancer

Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both the prognosis and the prediction of outcome to the treatment. Implementation of the proteomics-based techniques is also seen as crucial if we are to develop a systems biology approach in the discovery of biomarkers of the early diagnosis, prognosis and prediction of the outcome of the breast cancer therapies. In this review, we discuss the studies that have been conducted thus far, for the discovery of diagnostic, prognostic and predictive biomarkers, and evaluate the potential of the discriminating proteins identified in this research for clinical use as breast cancer biomarkers.

Clinical proteomics and breast cancer: strategies for diagnostic and therapeutic biomarker discovery

A major challenge of breast cancer research is the identification of accurate biomarkers that improve screening, early diagnosis, prediction of aggressiveness, and prediction of therapeutic response or toxicity, as well as the identification of new molecular therapeutic targets. The new proteomic techniques promise to be valuable for identifying such tissue and serum markers. The different techniques currently applied to clinical samples of breast cancer and the most important results obtained are summarized in this review.

DMD and IL1RAPL1: two large adjacent genes localized within a common fragile site (FRAXC) have reduced expression in cultured brain tumors

Common fragile sites (CFSs) are large regions of profound genomic instability found in all individuals. Spanning the center of the two most frequently expressed CFS regions, FRA3B (3p14.3) and FRA16D (16q23.2), are the 1.5 Mb FHIT gene and the 1.0 Mb WWOX gene. These genes are frequently deleted and/or altered in many different cancers. Both FHIT and WWOX have been demonstrated to function as tumor suppressors, both in vitro and in vivo. A number of other large CFS genes have been identified and are also frequently inactivated in multiple cancers. Based on these data, several additional very large genes were tested to determine if they were derived from within CFS regions, but DCC and RAD51L1 were not. However, the 2.0 Mb DMD gene and its immediately distal neighbor, the 1.8 Mb IL1RAPL1 gene are CFS genes contained within the FRAXC CFS region (Xp21.2-->p21.1). They are abundantly expressed in normal brain but were dramatically underexpressed in every brain tumor cell line and xenograft (derived from an intracranial model of glioblastoma multiforme) examined. We studied the expression of eleven other large CFS genes in the same panel of brain tumor cell lines and xenografts and found reduced expression of multiple large CFS genes in these samples. In this report we show that there is selective loss of specific large CFS genes in different cancers that does not appear to be mediated by the relative instability within different CFS regions. Further, the inactivation of multiple large CFS genes in xenografts and brain tumor cell lines may help to explain why this type of cancer is highly aggressive and associated with a poor clinical outcome.

Protein Expression Profiling in High-Risk Breast Cancer Patients Treated with High-Dose or Conventional Dose–Dense Chemotherapy

PURPOSE

To characterize the prognostic and predictive impact of protein expression profiles in high-risk breast cancer patients who had previously been shown to benefit from high-dose chemotherapy (HDCT) in comparison to dose-dense chemotherapy (DDCT).

EXPERIMENTAL DESIGN

The expression of 34 protein markers was evaluated using tissue microarrays containing paraffin-embedded breast cancer samples from 236 patients who were randomized to the West German Study Group AM01 trial.

RESULTS

(a) 24 protein markers of the initial panel of 34 markers were sufficient to identify five profile clusters (subtypes) by K-means clustering: luminal-A (27%), luminal-B (12%), HER-2 (21%), basal-like (13%) cluster, and a so-called "multiple marker negative" (MMN) cluster (27%) characterized by the absence of specifying markers. (b) After DDCT, HER-2 and basal-like groups had significantly worse event-free survival [EFS; hazard ratio (HR), 3.6 [95% confidence interval (95% CI), 1.65-8.18; P = 0.001] and HR, 3.7 (95% CI, 1.68-8.48; P < 0.0001), respectively] when compared with both luminal groups. (c) After HDCT, the HR was 1.5 (95% CI, 0.76-3.05) for EFS in the HER-2 subgroup and 1.1 (95% CI, 0.37-3.32) in the basal-like subgroup, which indicates a better outcome for patients in the HER-2 and basal-like subgroups who received HDCT. The MMN cluster showed a trend to a better EFS after HDCT compared with DDCT.

CONCLUSIONS

Protein expression profiling in high-risk breast cancers identified five subtypes, which differed with respect to survival and response to chemotherapy: In contrast to luminal-A and luminal-B subtypes, HER-2 and basal-like subgroups had a significant predictive benefit, and the MMN cluster had a trend to a predictive benefit, both from HDCT when compared with DDCT.

The expression of FHIT, PCNA and EGFR in benign and malignant breast lesions

Immunohistochemical staining for FHIT and PCNA proteins was carried out in 451 breast lesions showing nonproliferative benign breast disease (BBD) (n=263), proliferative BBD without atypia (n=128), proliferative BBD with atypia (n=11), carcinoma in situ (n=15) or invasive carcinoma (n=34) and for EGFR protein in a subset of 71 of these cases. FHIT underexpression was not detected in nonproliferative lesions, but occurred in 2% of proliferative BBD without atypia, 10% proliferative BBD with atypia, 27% of carcinoma in situ and 41% of invasive carcinoma, which suggests that it could be useful in assessing those carcinoma in situ lesions (ductal, DCIS and lobular, LCIS) that are more likely to progress to malignancy. Preliminary microarray comparisons on DCIS and invasive carcinoma samples dissected from formalin-fixed paraffin sections showed a consistent downregulation of two previously identified FHIT-related genes, caspase 1 and BRCA1 in lesions underexpressing FHIT.

Prevalence of fragile histidine triad expression in tumors from saudi arabia: a tissue microarray analysis

AIM

The fragile histidine triad (FHIT) gene was discovered and proposed as a tumor suppressor gene for most human cancers. It encodes the most active common human chromosomal fragile region, FRA3B. We studied the prevalence of loss of FHIT expression in various tumors and correlated its loss with various clinicopathologic features.

METHODS

To determine whether the absence of FHIT expression correlates with clinical variables such as grade, stage, and survival time, we assessed FHIT expression using immunohistochemistry. More than 1,800 tumors from more than 75 tumor categories were analyzed by immunohistochemistry in a tissue microarray format.

RESULTS

Loss of FHIT expression ranged from 19% in ovarian tumors to 67% in lung cancers. Clinical and pathologic features like grade, stage, tumor size, and lymph node metastasis showed correlation with loss of FHIT expression in some tumors. No difference was seen in the survival patterns and loss of FHIT expression in any of the tumor groups studied.

CONCLUSIONS

Loss of FHIT expression is an ubiquitous event in the multistep, multifactorial carcinogenesis process. FHIT may be altered at different stages in different types of cancers. Most of the tumors with a wider prevalence of loss of FHIT expression as an early event show a correlation with clinicopathologic features. However, in some of the tumors, FHIT expression is lost as a late event and is only seen in a fraction of the tumors.

Correlated break at PARK2/FRA6E and loss of AF-6/Afadin protein expression are associated with poor outcome in breast cancer

Common fragile sites (CFSs) are regions of chromosomal break that may play a role in oncogenesis. The most frequent alteration occurs at FRA3B, within the FHIT gene, at chromosomal region 3p14. We studied a series of breast carcinomas for break of a CFS at 6q26, FRA6E, and its associated gene PARK2, using fluorescence in situ hybridization on tissue microarrays (TMA). We found break of PARK2 in 6% of cases. We studied the PARK2-encoded protein Parkin by using immunohistochemistry on the same TMA. Loss of Parkin was found in 13% of samples but was not correlated with PARK2 break. PARK2 break but not Parkin expression was correlated with prognosis. Alteration of PARK2/FRA6E may cause haplo-insufficiency of one or several telomeric potential tumor suppressor genes (TSG). The AF-6/MLLT4 gene, telomeric of PARK2, encodes the Afadin scaffold protein, which is essential for epithelial integrity. Loss of Afadin was found in 14.5% of cases, and 36% of these cases showed PARK2 break. Loss of Afadin had prognostic impact, suggesting that AF-6 may be a TSG. Loss of Afadin was correlated with loss of FHIT expression, suggesting fragility of FRA6E and FRA3B in a certain proportion of breast tumors.

Proteomics of breast cancer: principles and potential clinical applications

Progresses in screening, early diagnosis, prediction of aggressiveness and of therapeutic response or toxicity, and identification of new targets for therapeutic will improve survival of breast cancer. These progresses will likely be accelerated by the new proteomic techniques. In this review, we describe the different techniques currently applied to clinical samples of breast cancer and the most important results obtained with the two most popular proteomic approaches in translational research (tissue microarrays and SELDI-TOF).

Protein Expression Profiling Identifies Subclasses of Breast Cancer and Predicts Prognosis

Breast cancer is a heterogeneous disease whose evolution is difficult to predict by using classic histoclinical prognostic factors. Prognostic classification can benefit from molecular analyses such as large-scale expression profiling. Using immunohistochemistry on tissue microarrays, we have monitored the expression of 26 selected proteins in more than 1,600 cancer samples from 552 consecutive patients with early breast cancer. Both an unsupervised approach and a new supervised method were used to analyze these profiles. Hierarchical clustering identified relevant clusters of coexpressed proteins and clusters of tumors. We delineated protein clusters associated with the estrogen receptor and with proliferation. Tumor clusters correlated with several histoclinical features of samples, including 5-year metastasis-free survival (MFS), and with the recently proposed pathophysiologic taxonomy of disease. The supervised method identified a set of 21 proteins whose combined expression significantly correlated to MFS in a learning set of 368 patients (P &lt; 0.0001) and in a validation set of 184 patients (P &lt; 0.0001). Among the 552 patients, the 5-year MFS was 90% for patients classified in the “good-prognosis class” and 61% for those classified in the “poor-prognosis class” (P &lt; 0.0001). This difference remained significant when the molecular grouping was applied according to lymph node or estrogen receptor status, as well as the type of adjuvant systemic therapy. In multivariate analysis, the 21-protein set was the strongest independent predictor of clinical outcome. These results show that protein expression profiling may be a clinically useful approach to assess breast cancer heterogeneity and prognosis in stage I, II, or III disease.

Aberrations in the fragile histidine triad(FHIT) gene may be involved in lung carcinogenesis in patients with chronic pulmonary tuberculosis

It has been suggested that pulmonary tuberculosis (PT) is associated with lung carcinogenesis. To identify the genetic characteristics of precancerous PT lesions in lung, 20 patients were selected with a 1-month to 36-year history of PT and 20 lung cancer patients with a 2- to 53-year history of previous PT that had undergone lung resection at the Nanfang Hospital from 1999 to 2003; PCR-based microsatellite analysis with DNA extracted from microdissected tissues and immunohistochemical analysis of FHIT protein expression in samples of hyperplasia and cancer obtained from 40 patients were performed. Three microsatellite markers of the FHIT gene for loss of heterozygosity (LOH) analysis were used. LOH of the FHIT locus was frequently found among the lesions of hyperplasia and atypical hyperplasia obtained from 6 patients with a 1- to 36-year history of PT (12 of 30 informative lesions, 40%); none of 70 hyperplastic lesions obtained from 14 patients with a 1- to 11-month history of PT showed LOH at the FHIT gene; 17 of 20 (85%) cancer lesions obtained from 20 lung cancer patients with a 2- to 53-year history of previous PT showed LOH at the FHIT gene, which was significantly higher than hyperplasia and atypical hyperplasia obtained from patients with a 1- to 36-year history of PT in FHIT LOH (Fisher's exact test p = 0.003). Additionally, the level of FHIT protein expression was frequently reduced in the hyperplastic lung epithelial cells of PT with a 1- to 36-year history and cancer tissue. Our findings suggest that allelic loss of the FHIT gene may be involved in carcinogenesis in the lung of patients with PT.

Characterization of a conserved aphidicolin-sensitive common fragile site at human 4q22 and mouse 6C1: possible association with an inherited disease and cancer

Fragile sites are classified as common or rare depending on their occurrence in the populations. While rare sites are mainly associated with inherited diseases, common sites have been involved in somatic rearrangements found in the chromosomes of cancer cells. Here we study a mouse locus containing the ionotropic glutamate receptor delta 2 (grid2) gene in which spontaneous chromosome rearrangements occur frequently, giving rise to mutant animals in inbred populations. We identify and clone common fragile sites overlapping the mouse grid2 gene and its human ortholog GRID2, lying respectively at bands 6C1 and 4q22 in a 7-Mb-long region of synteny. These results show a third example of orthologous common sites conserved at the molecular level, and reveal an unexpected link between an inherited disease and an aphidicolin-sensitive region. Recurrent deletions of subregions of band 4q22 have been previously described in human hepatocellular carcinomas. This 15-Mb-long region appears precisely centered on the site described here, which strongly suggests that it also plays a specific role in hepatic carcinogenesis.

Loss of fragile histidine triad protein expression and its clinicopathological significance in gastric cancer

AIM: To investigate the expression of fragile histidine triad protein, Fhit and the possible relationship between its expression and clinicopathological indices in gastric carcinoma.

METHODS: Fhit protein expression was detected in 76 cases of gastric carcinoma, 58 dysplasia and 10 normal mucosae by immunohistochemical method to analyse its relationship to histological grade, clinical stage, metastatic status and prognosis.

RESULTS: The loss of Fhit protein expression was detected in 48/76 (63.2%) cases of cancer tissue, 36/58 (62.1%)cases of adjacent dysplastic tissue and 0/10 cases of normal gastric mucosa. There was a significant difference in the expression of Fhit protein between cancer or adjacent dysplastic tissue and normal gastric mucosa (P=0.000). It was also showed that loss of Fhit protein expression was found first in 35.7% (10/28) of grade I-II, and in 79.2% (38/48) of grade III (P = 0.000); second in 43.8% (14/32)of stage I-II, whereas in 77.3% (34/44) of stage III-IV (P = 0.004); and last in 36.4% (8/22) of tumors without metastasis but in 74.1% (40/54) of those with metastasis (P = 0.003). The significant difference in the loss of expression of Fhit was found between cancers on different histological grade, clinical stage and metastatic status, respectively. Follow-up data showed that there was a significant difference in median survival time between carcinomas with loss of Fhit (33 mos) and those without (71 mos) (Log rank = 20.78; P = 0.000).

CONCLUSION: Fhit protein is an important tumor suppressor protein. Loss of Fhit protein expression may be associated with carcinogenesis, invasion, metastasis and prognosis in gastric carcinoma.

The fragile genesFHIT andWWOX are inactivated coordinately in invasive breast carcinoma

BACKGROUND

FHIT and WWOX are a tumor suppressor and a candidate suppressor that encompass the FRA3B and FRA16D fragile sites at chromosomes 3p14.2 and 16q23.3-24.1, respectively. Reduced or absent Fhit expression has been reported in two-thirds of invasive breast tumors in association with adverse prognostic factors. Loss of 16q has been reported frequently in low-grade, invasive breast tumors.

METHODS

Expression of Fhit and Wwox was evaluated by immunohistochemical staining in 97 archived breast carcinoma specimens. Expression levels were analyzed for correlations with each other, as well as with various patient and tumor characteristics.

RESULTS

Reduced Fhit and Wwox expression in tumors was observed in 54.6% and 63.2% of specimens, respectively. Fhit and Wwox expression were correlated strongly (P = 0.001). Reduced Fhit staining was seen more frequently in premenopausal patients (P = 0.010), estrogen receptor (ER)-negative or scantly ER-positive tumors (P = 0.058 borderline), high-grade tumors (P = 0.005), and tumors with metastases (P = 0.041). Reduced Wwox staining was more common in tumors with less favorable ER status (P = 0.033). Wwox expression in normal tissue was reduced in 32.9% of specimens, especially in patients with higher stage disease (P = 0.033). Severely reduced Wwox staining (extent < 10%) in normal tissue was found only in postmenopausal women, but reduced Wwox staining (11-75%) was more common in premenopausal women (P = 0.012). Tumor status, lymph node status, and intensity of Fhit expression in tumors were related independently to survival (P = 0.003, P < 0.001, and P = 0.046, respectively).

CONCLUSIONS

The strong correlation observed between Fhit and Wwox expression was consistent with the common elevated susceptibility of fragile sites to DNA damage. Reduced Fhit expression is associated with adverse prognostic factors. The current results suggest that Wwox also has an important and complex association with steroid hormone expression and breast carcinogenesis.